Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …

Speech emotion recognition aims to automatically identify and classify emotions from
speech signals. It plays a crucial role in various applications such as human-computer …

Emotions have a vital role in human communication in today's time, they help individuals
express their thoughts and understand the emotions of others better. Speech Emotion …

Speech emotion detection can help monitor people's mental health by analyzing their
speech patterns and recognizing emotional indicators. The raw data is initially augmented …

At present, there are several communication tools employed to express human emotions.
Among the numerous modes of communication, speech is the most predominant one for …

Automatic emotion recognition from speech signals is an important research area. Many
speech emotion recognition (SER) methods have been proposed, among which ensemble …

Speech emotion recognition (SER) is a task that tailors a matching function between the
speech features and the emotion labels. Speech data have higher information saturation …

The study aims to present an in-depth Sentiment Analysis (SA) grounded by the presence of
emotions in the speech signals. Nowadays, all kinds of web-based applications ranging …

Speech Emotion Recognition (SER) is vital for enhancing Human-Robot Interaction (HRI). In
the past decade, various models have been applied to diverse datasets. However, these …

The paper introduces a new interpretable intelligent system aimed at optimizing feature
selection for Speech Emotion Recognition (SER), specifically targeting the emotion of …